Meta Launches an Enterprise AI Business, Bringing Muse Into Company Workflows
The company is standing up a new enterprise unit, "Meta Enterprise Platform," to sell AI products that businesses can plug into their own services. It is a plan to expand from consumer-facing Muse to corporate customers.
Meta announced a new enterprise AI business, “Meta Enterprise Platform,” on September 28 (local time). The goal is to build AI products and services that companies and developers can plug into their own businesses. After consumer AI and models for developers, Meta now wants to extend its commercial reach to enterprise customers.
What Meta is selling to businesses
Meta named the Muse agent, Meta Business Agent, the Muse API, and Muse Code as its initial areas of focus. Among them, the Muse API is the route developers will use to wire Muse into their own services. The heart of the new business is a product lineup that pulls Meta’s AI into corporate services and internal workflows.
The unit will be led by CJ Desai, who joins as chief enterprise platform officer. Meta said it plans to package its own AI models, agents that handle tasks on their own, and the infrastructure that runs them into its enterprise products. Rather than selling models alone, the idea is to bundle everything needed for AI to actually get work done.
How this differs from consumer Muse
Muse was announced earlier, on September 8, as a consumer AI agent. It handles multi-step tasks on a separate virtual computer set up in the cloud, using a browser and connected apps. It is built not just to answer questions but to operate apps directly and finish the job. Meta said it requires user approval for sensitive actions such as sending email or making purchases.
The new enterprise business is a plan to bring that technology to corporate customers as well. Where consumer Muse focuses on handling work on behalf of a single user, the new business leans toward building products and services that companies can attach to their own operations.
Meta has steadily widened the availability of the Muse family this year. In April it released its first model, Muse Spark, on the Meta AI app and the web. In July it shipped Muse Spark 1.1 and a public preview of the Meta Model API for developers. The newly created business adds enterprise products on top of those consumer and developer releases.
When can Korean companies use it?
Korean companies weighing adoption will first need to check whether the products launch in Korea and whether they support the Korean language. Consumer Muse initially launched in the United States. Pricing for the enterprise services, a specific launch date, and how to sign up have not been disclosed yet.
The core of this announcement is Meta’s push to broaden Muse into a product that companies use in their own businesses. For any company looking to bring AI into its operations, what matters is which tasks it can hand off and on what terms. The actual capabilities of each product, the cost of adoption, and the regions where it will be available are the things to watch. For Korean companies, whether the system can handle work in Korean is another key criterion.